Using POPAN-5 to analyse banding data

We describe some recent developments in the POPAN system for the analysis o f mark-recapture data from JoIly-Seber (JS) type experiments and how this s ystem applies to the analysis of banding data. We discuss some of the extra data requirements of JS studies, which provide estimates of abundance and entry/birth rates, over survival (CIS) studies. We discuss how POPAN implem ents a unified likelihood approach using a constrained maximization and sho w how this differs from a design-matrix approach used in CIS software. We i llustrate the application of constraints and covariate models across groups with some examples drawn from the banding literature, including an example with age-class groups and we describe some of the resources in POPAN for c arrying out standard tests for goodness-of-fit.